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Immunization-based redundancy elimination in Mobile Opportunistic Networks-Generated big data

机译:移动机会网络生成的大数据中基于免疫的冗余消除

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AbstractDiverse sensors and smart devices are promising in facilitating to perform specific tasks which generate massive data whilst such data transmission is challenged in the big data era. Under some circumstances, these devices may form Mobile Opportunistic Networks (MONs) which are characterized by intermittent connectivity. In such scenarios, there is a critical issue that nodes with the already delivered message copies may continue carrying and transmitting the copies if they are not informed that the message has been delivered. This may result in redundant data, and thus large consumption of network resources and network performance degradation. To avoid generating, transmitting and storing unwanted data due to redundant message copies, we propose an Immunization-Based Redundancy Elimination scheme (IBRE) in MONs to stop useless data transmission and flush redundancy. In IBRE, each destination independently selects the right number of ACKs distributed to respond to the variation of the amount of redundant data in a dynamic fashion. Simulation results demonstrate that IBRE suppresses redundant data transmission and eliminates useless data generated from redundant message copies in cost-efficient manner.
机译: 摘要 多样化的传感器和智能设备有望促进执行生成大量数据的特定任务,而这种数据传输在大数据时代面临着挑战。在某些情况下,这些设备可能会形成以间歇性连接为特征的移动机会网络(MON)。在这种情况下,存在一个关键问题,即如果节点未通知消息已传递,则已经传递了消息副本的节点可能会继续携带和传输副本。这可能会导致冗余数据,从而导致网络资源的大量消耗和网络性能下降。为了避免由于冗余消息副本而产生,传输和存储不需要的数据,我们建议在MON中使用基于免疫的冗余消除方案(IBRE),以停止无用的数据传输和刷新冗余。在IBRE中,每个目的地独立选择正确数量的ACK,以动态方式响应冗余数据量的变化。仿真结果表明,IBRE以经济高效的方式抑制了冗余数据传输并消除了从冗余消息副本生成的无用数据。

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